The Pointing game, introduced in [1]}, measures accuracy of saliency peaks falling inside the object bounding box. This metric is also not very suitable for evaluating detector's saliency, because bounding box is provided in the input to the attribution algorithm. However, it does shine some light on the saliency distribution. The pointing games score is \(0.953\) . The `tie' class has the lowest average among all classes — \(0.79\)  (where interestingly the saliency peak is often on the face of a person wearing it).
Developing better quantitative metrics for evaluating saliency, especially for object detection, remains an open research problem.
